摘要
在本論文中，我們提出一個能充分利用多成分流動網路中既有硬體和空間重複性的最適警報系統設計方法。具體而言，我們發展出一套系統化的步驟，可以找出程序中任何管流的成分流率的獨立測量方法，並合成對應的警報邏輯，而為了應用此一警報策略，我們也推導出計算類型I和II誤判條件機率的公式。應用的結果顯示，本論文所提出之策略可有效地減少類型I和II的誤判，由於可依據設計者需求，適當地將期望損失最小化，此一系統應優於任何現存警報技巧。

Abstract
An optimal alarm system design method, which takes full advantage of the inherent hardware and spatial redundancies in a mass and component-flow network, has been proposed in this study. In particular, systematic procedures have been developed to identify independent measurement methods for the component-flow rate of any stream in the process and to synthesize corresponding alarm generation logic. In order to implement the suggested alarm strategy, the formulas for evaluating conditional probabilities of type I and II mistakes have also been derived. The results of applying the proposed alarm system to the application example show that the approach taken in this work is effective in suppressing the type I and/or II mistakes. Further, this system is superior to any of the existing alarm techniques in the sense that it can be appropriately tailored to minimize the expected loss due to misjudgments in generating alarms.

目 錄
中文摘要 . . . . . . . . . . . . . . . . . . . . . . . . . . .i
英文摘要 . . . . . . . . . . . . . . . . . . . . . . . . . . .ii
目錄 . . . . . . . . . . . . . . . . . . . . . . . . . . . .iii
表目錄 . . . . . . . . . . . . . . . . . . . . . . . . . . . .v
圖目錄 . . . . . . . . . . . . . . . . . . . . . . . . . . . .vi
符號說明 . . . . . . . . . . . . . . . . . . . . . . . . .viii
第一章 緒論 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .1
第二章 數據調和及補正 . . . . . . . . . . . . . . . . . . . . .5
2.1程序圖與程序網路 . . . . . . . . . . . . . . . . .5
2.2 程序網路中的限制式 . . . . . . . . . . . . . .10
2.3質量平衡數據調和方法 . . . .. . . . . . . . .15
2.4 質能平衡數據調和方法 . . . . . . . . . . .. .19
2.5 質能數據補正 . . . . . . . . . . . . . . .. . . . . .27
2.6 成分平衡數據調和補正 . . . . . . . . . . . .43
第三章 多成分最適警報邏輯之發展 . . . . . . . . . . .53
3.1成分流誤差模式 . . . . . . . . . . . . . . . . . . .53
3.2臨界限制 . . . . . . . . . . . . . . . . . . . . . . . . .58
3.3獨立測量方法的識別 . . . . . . . . . . . . . . .60
3.4 最佳警報邏輯的合成 . . . . . . . . . . . . . . .74
3.5 線上或然率估算 . . . . . . . . . . . . . . . . . . .78
3.6 實例測試 . . . . . . . . . . . . . . . . . . . . . . . . .81
第四章 結論與展望 . . . . . . . . . . . . . . . . . . . . . . . . . 92
4.1 結論 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .92
4.2 展望 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .93
參考文獻 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .95

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